FOLIA GEOGRAPHICA

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FOLIA GEOGRAPHICA 2013 (21), LV., pp. 107-118

Podpora Rozvoja Urbanizovaných Území Pomocou Využitia Simulačných Metód Matematického Hydraulického Modelu a Data Miningu pri Prevádzke Stokovej Siete

The Use of the Knowledge Technologies to Support Management and Operation of Collection System as a Basis for the Development of the Urban Areas

Ivan Mrnčo A, Peter Blštak B, Peter Hudec C, Tomáš Gibala D, Eva Michaeli E*

Received: November 15, 2012 | Revised: January 10, 2013 | Accepted: March 15, 2013

A ITKON, spol. s r. o., Dohnányho 2, 917 02 Trnava, Slovakia ivan.mrnco@itkon.sk (corresponding author)
B ITKON, spol. s r. o., Dohnányho 2, 917 02 Trnava, Slovakia peter.blstak@itkon.sk
C ITKON, spol. s r. o., Dohnányho 2, 917 02 Trnava, Slovakia peter.hudec@itkon.sk
D DHI SLOVAKIA s.r.o., Hattalova 12, 831 03 Bratislava, Slovakia t.gibala@dhi.sk
E* University of Prešov, 17. novembra 1, 080 01 Prešov, Slovakia eva.michaeli@unipo.sk

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Abstract

The paper deals with the applications of the modern computational methods for solving complex water management tasks of the collection system operation and run off capabilities in urban areas through the sewer network. Optimization of the collection system operation are important background input data for the subsequent development of the urbanized areas. As the basic functionality of advanced technologies it is possible to classify the complex problem solving: merging of several previously separate systems – mathematical hydraulic model, GIS, SCADA (supervisory control and data acquisition), CIS (customer information system) etc. These are often treated separately or by the modern GIS system. Relatively new element to predicting the behaviour of the collection system for input events, such as rainfalls and the production of wastewaters, is data mining. Data mining is technology for extracting knowledge (information data knowledge) from large amount of data. Expansion of this technology is related to the rapid development of the information technologies and the huge increase in the volume of data in all spheres of our life. One of the possibilities of using the knowledge technologies is an assessment of the hydraulic behaviour of the collecting system for selected conditions. Operational and supervisory control of the network is only possible if there are sufficient data of the possible behaviour of the network for the foreseeable future events – precipitation and provided elements on the network that can be controlled – control devices, and the retention tanks. Expanding the role of modeling for the operational management of the network at the same time – hydroinformatics tool can also be used to quantify such phenomena as the possible flooding of the surface water from street drains, or assessment of the volume of water extract to the recipient via reliever chamber. With knowledge of these data is their subsequent use quite diverse – the need to protect the population, the development of an urbanized area, as well as the need for integrated protection of the recipient.

Key words: Operation of sewage system, GIS, SCADA, CIS, mathematical modeling, hydroinformatics, data mining, development of urban areas

Summary

The Use of the Knowledge Technologies to Support Management and Operation of Collection System as a Basis for the Development of the Urban Areas

Aim of the study was to identify possible background data for the development of the urban areas in field of the collection systems. In present there are existing more knowledge technologies as mathematical hydraulic model, GIS, SCADA, CIS etc. These systems can work separately or can exchange data each other. Hydraulic evaluation of the collection system is based on the data from operation of the collection system. Input data are used for creating mathematical model. Next step is to collect calibration data from measurement campaign (rainfalls, flow in the collection pipes, water level in the collection pipes). Based on these data the mathematical hydraulic model is calibrated and is representing real behaviour on the collection system – hydraulic evaluation of the system. Another possibilities how to predicted behaviour of the collection system is to collect huge amount of the input data and used them for data mining. Data mining is process of detecting hidden dependencies on the data and search for the patterns to modelling prediction of the data. Data mining makes possible to exploit the full potential of the information contained in the evaluated data. This technology uses knowledge of historical data from the area for applying statistical methods such as correlation and regression analysis. Efficient operation of the collection system can be identified only by the understanding of the functionality of the whole system. Use of the connections between mathematical hydraulic models and data mining models can bring better understanding of collection system behaviour. Data mining model can instead of historical model to use data from the hydraulic model and mathematical model can be verified using the data mining model. By joining and using of aforementioned methods involve a very effective tool to support decision – to solve challenges related to the planning of routine maintenance or its renewal, as well as the more demanding applications like managing runoff or responding to crisis events or connection of new urban areas to the existing collection system.

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